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Format: Online / Self-paced
Duration: 20 Hours
Schedule: Online, self-paced
Course Overview:
This badge earner demonstrates knowledge and understanding in technical and scientific concepts related to building AI solutions with open-source frameworks (such as TensorFlow and Keras) to make model predictions using regression, classification, and clustering algorithms such as Naive Bayes, Logistic regression, K-nearest neighbors, Polynomial Linear Regression, SVM (Kernel), Decision tree, and Ensemble learning, K means and DBSCAN for anomaly detection and computer vision.
Add/Drop Policy: Students are eligible for a full refund if communicated within week 1 via email to our office as well as the instructor of record. Students dropped from the course will no longer have access to course materials and are ineligible for any credentials related to the course if/when a refund is provided.
Students are required to complete introductory assignments or acknowledgment of enrollment within 1 week of the course start date. Failure to do so will result in the student being dropped from the course/program without refund.
Cancellation Policy
If a program is canceled, you will be notified by email and phone and issued a full refund within 20 business days. Individuals who cancel after the start of a program will not receive a refund. No refunds will be granted after a student accesses the online course materials or 30 days after registration, whichever comes first.
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You must log in before registering. After login or account creation, you will be taken directly to the Course Registration Form.
After account creation, Slate will send you a PIN and password setup email. You’ll then be redirected to the registration form.